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Jinchi Chen
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Journal Articles
- 2022
- [j4]Jinchi Chen
, Weiguo Gao, Sihan Mao
, Ke Wei
:
Vectorized Hankel Lift: A Convex Approach for Blind Super-Resolution of Point Sources. IEEE Trans. Inf. Theory 68(12): 8280-8309 (2022) - [j3]Sihan Mao
, Jinchi Chen
:
Blind Super-Resolution of Point Sources via Projected Gradient Descent. IEEE Trans. Signal Process. 70: 4649-4664 (2022) - 2019
- [j2]Jinchi Chen
, Yulong Liu
:
Stable Recovery of Structured Signals From Corrupted Sub-Gaussian Measurements. IEEE Trans. Inf. Theory 65(5): 2976-2994 (2019) - 2018
- [j1]Jinchi Chen
, Yulong Liu
:
Data-Time Tradeoffs for Corrupted Sensing. IEEE Signal Process. Lett. 25(7): 941-945 (2018)
Conference and Workshop Papers
- 2022
- [c5]Sihan Mao, Jinchi Chen:
Blind Super-Resolution via Projected Gradient Descent. ISIT 2022: 1826-1831 - 2020
- [c4]Jinchi Chen, Yi Qin, Huiyan Wang, Chang Xu:
Simulated or Physical? An Empirical Study on Input Validation for Context-aware Systems in Different Environments. Internetware 2020: 146-155 - 2019
- [c3]Jinchi Chen, Xiaxia Wang, Gong Cheng, Evgeny Kharlamov, Yuzhong Qu:
Towards More Usable Dataset Search: From Query Characterization to Snippet Generation. CIKM 2019: 2445-2448 - [c2]Xiaxia Wang, Jinchi Chen, Shuxin Li, Gong Cheng, Jeff Z. Pan, Evgeny Kharlamov, Yuzhong Qu:
A Framework for Evaluating Snippet Generation for Dataset Search. ISWC (1) 2019: 680-697 - 2017
- [c1]Jinchi Chen, Yulong Liu:
Corrupted sensing with sub-Gaussian measurements. ISIT 2017: 516-520
Informal and Other Publications
- 2024
- [i13]Jie Feng, Ke Wei, Jinchi Chen:
Global Convergence of Natural Policy Gradient with Hessian-aided Momentum Variance Reduction. CoRR abs/2401.01084 (2024) - [i12]Haifeng Wang, Jinchi Chen, Hulei Fan, Yuxiang Zhao, Li Yu:
Simultaneous Blind Demixing and Super-resolution via Vectorized Hankel Lift. CoRR abs/2401.11805 (2024) - [i11]Jinchi Chen:
Fast and Provable Simultaneous Blind Super-Resolution and Demixing for Point Source Signals: Scaled Gradient Descent without Regularization. CoRR abs/2407.09900 (2024) - 2023
- [i10]Jiacai Liu, Jinchi Chen, Ke Wei:
On the Linear Convergence of Policy Gradient under Hadamard Parameterization. CoRR abs/2305.19575 (2023) - 2021
- [i9]Zengying Zhu, Jinchi Chen, Weiguo Gao:
Low Rank Vectorized Hankel Lift for Matrix Recovery via Fast Iterative Hard Thresholding. CoRR abs/2109.11414 (2021) - [i8]Sihan Mao, Jinchi Chen:
Blind Super-resolution via Projected Gradient Descent. CoRR abs/2110.02478 (2021) - [i7]Sihan Mao, Jinchi Chen:
Blind Super-resolution of Point Sources via Projected Gradient Descent. CoRR abs/2112.01077 (2021) - 2020
- [i6]Jinchi Chen, Weiguo Gao, Sihan Mao, Ke Wei:
Vectorized Hankel Lift: A Convex Approach for Blind Super-Resolution of Point Sources. CoRR abs/2008.05092 (2020) - 2019
- [i5]Xiaxia Wang, Jinchi Chen, Shuxin Li, Gong Cheng, Jeff Z. Pan, Evgeny Kharlamov, Yuzhong Qu:
A Framework for Evaluating Snippet Generation for Dataset Search. CoRR abs/1907.01183 (2019) - [i4]Jinchi Chen, Xiaxia Wang, Gong Cheng, Evgeny Kharlamov, Yuzhong Qu:
Towards More Usable Dataset Search: From Query Characterization to Snippet Generation. CoRR abs/1908.11146 (2019) - [i3]Jinchi Chen, Weiguo Gao, Ke Wei:
Exact matrix completion based on low rank Hankel structure in the Fourier domain. CoRR abs/1910.02576 (2019) - 2017
- [i2]Jinchi Chen, Yulong Liu:
Corrupted Sensing with Sub-Gaussian Measurements. CoRR abs/1705.07531 (2017) - [i1]Jinchi Chen, Yulong Liu:
Stable Recovery of Structured Signals From Corrupted Sub-Gaussian Measurements. CoRR abs/1709.05827 (2017)
Coauthor Index
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